Paper published in a book (Scientific congresses, symposiums and conference proceedings)
EEG-Based Prediction of Perceptual Timing Errors in Virtual Reality
NIKNAM, Sahar; DURAISAMY, Saravanakumar; BOTEV, Jean et al.
2025In Proceedings of the 24th IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2025)
Peer reviewed
 

Files


Full Text
Niknam 2025 - EEG-Based Prediction of Perceptual Timing Errors in Virtual Reality.pdf
Publisher postprint (1.41 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Computer science
Author, co-author :
NIKNAM, Sahar  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
DURAISAMY, Saravanakumar ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
BOTEV, Jean  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
LEIVA, Luis A.  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
no
Language :
English
Title :
EEG-Based Prediction of Perceptual Timing Errors in Virtual Reality
Publication date :
2025
Event name :
International Workshop on Neurophysiological Signals, Affective Computing and Cognition in Extended Reality (NeuroXR 2025)
Event date :
from 8 to 12 October 2025
Main work title :
Proceedings of the 24th IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2025)
Publisher :
IEEE
Pages :
168-173
Peer reviewed :
Peer reviewed
European Projects :
H2020 - 964464 - ChronoPilot - Modulating Human Subjective Time Experience
HE - 101071147 - SYMBIOTIK - Context-aware adaptive visualizations for critical decision making
FnR Project :
FNR15722813 - BANANA - Brainsourcing For Affective Attention Estimation, 2021 (01/02/2022-31/01/2025) - Luis Leiva
Funders :
UE - Union Européenne
Available on ORBilu :
since 11 August 2025

Statistics


Number of views
144 (53 by Unilu)
Number of downloads
114 (4 by Unilu)

OpenAlex citations
 
0

Bibliography


Similar publications



Contact ORBilu